5. Case Study - Conditional Probability | Probability and Statistics | SNS Institutions скачать в хорошем качестве

5. Case Study - Conditional Probability | Probability and Statistics | SNS Institutions

#snsinstitutions #snsdesignthinkers #designthinking In probability theory, conditional probability is a measure of the probability of an event occurring, given that another event (by assumption, presumption, assertion or evidence) is already known to have occurred.This particular method relies on event A occurring with some sort of relationship with another event B. Conditional probability can involve both dependent and independent events. If the events are dependent, then the first event will influence the second event, such as pulling two aces out of a deck of cards. A dependent event is when one event influences the outcome of another event in a probability scenario. Probability is the likelihood of an event occurring, while conditional probability is the likelihood of one event occurring given that another event has already occurred. In essence, conditional probability considers a prior event and adjusts the probability of another event accordingly.